感知社会支持、照顾者能力和社会经济决定因素对中国中风幸存者家庭恢复力的影响:一项横断面研究。

IF 3.9 2区 医学 Q1 NURSING
Yiqing Zhang, Jingjing Ma, Lijun Chen, Huiying Chen, Yamei Xu, Hong Xu, Lei Gu, Lu Shi
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引用次数: 0

摘要

背景:家庭弹性理论认为家庭可以培养适应能力,在逆境中茁壮成长。然而,关于中国中风幸存者及其照顾者的家庭恢复机制的证据仍然有限。目的:研究中风影响家庭中感知社会支持、照顾者能力和家庭恢复力之间的直接和间接联系途径,并确定影响恢复力结果的社会经济决定因素。设计:这是一项横断面研究。方法:从宁波市两家医院(一所大型公立医院和一所私立康复医院)招募513名脑卒中幸存者和护理人员。定量数据的收集采用结构化问卷调查与受访者分层数据源。主要家庭照顾者自我报告了他们的一般人口特征,以及他们对感知社会支持量表(PSSS)、家庭照顾者任务量表(FCTI)和家庭弹性评估量表(FRAS-C)的反应。同时,对脑卒中幸存者的人口统计学、临床特征和日常生活活动(adl)进行评估。统计分析包括描述性统计、Pearson相关系数、多元回归模型和中介分析,以检验变量之间的关系。结果:家庭弹性得分(均值= 86.70±19.00)与感知社会支持(PSS)呈显著正相关(r = 0.523, p)。结论:本研究为研究中国脑卒中人群家庭弹性的心理社会机制提供了新的证据。首先,我们确定照顾者能力是社会支持和恢复力之间的关键中介,阐明了以前未被探索的途径。其次,我们揭示了中风前较高的收入与恢复力降低之间的矛盾关系,挑战了恢复力研究中的传统社会经济假设。第三,我们建立照顾者睡眠质量作为家庭弹性的可变决定因素。该研究表明,干预措施应同时加强社会支持网络和护理人员技能,同时解决与睡眠质量和经济问题相关的问题。临床试验号:不适用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Perceived social support, caregiver capacity, and socioeconomic determinants mediating pathways to family resilience in Chinese stroke survivors: a cross-sectional study.

Perceived social support, caregiver capacity, and socioeconomic determinants mediating pathways to family resilience in Chinese stroke survivors: a cross-sectional study.

Background: Family resilience theory posits that families can cultivate adaptive capacities to thrive amid adversity. However, evidence on family resilience mechanisms among Chinese stroke survivors and their caregivers remains limited.

Objectives: To investigate the direct and indirect pathways linking perceived social support, caregiver capacity, and family resilience in stroke-affected families and to identify socioeconomic determinants shaping resilience outcomes.

Design: This is a cross-sectional study.

Methods: A convenience sample of 513 stroke survivor-caregiver dyads was recruited from two hospitals in Ningbo, China: a large public hospital and a private rehabilitation hospital. Quantitative data were collected using a structured questionnaire with respondent-stratified data sources. Primary family caregivers self-reported their general demographics, as well as their responses to the Perceived Social Support Scale (PSSS), Family Caregiver Task Inventory (FCTI), and Family Resilience Assessment Scale (FRAS-C). Concurrently, the demographics, clinical characteristics, and Activities of Daily Living (ADLs) of stroke survivors were assessed. Statistical analyses encompassed descriptive statistics, Pearson correlation coefficients, multivariate regression models, and mediation analysis to examine relationships between variables.

Results: Family resilience scores (mean = 86.70 ± 19.00) showed significant positive correlations with perceived social support (PSS) (r = 0.523, p < 0.01) and positive correlations with caregiver capacity (FCTI, r = 0.522, p < 0.01). Mediation analysis revealed that caregiver capacity partially mediated the relationship between PSS and family resilience (indirect effect: 26.68%). Socioeconomic determinants played a critical role: higher education (β = 8.50, p = 0.008), medical insurance coverage (β = -6.47, p = 0.009), and mild stroke survivors dependence (ADL;β = 9.40, p < 0.001) enhanced resilience, while higher pre-illness income of stroke survivors (β = -8.31, p = 0.002) and poor caregiver sleep quality (β = -6.20, p < 0.05) reduced it.

Conclusion: This study provides novel evidence on the psychosocial mechanisms underlying family resilience in Chinese stroke populations. First, we identify caregiver capacity as a critical mediator between social support and resilience, elucidating a previously underexplored pathway. Second, we reveal the paradoxical association between higher pre-stroke income and reduced resilience, challenging conventional socioeconomic assumptions in resilience research. Third, we establish caregiver sleep quality as a modifiable determinant of family resilience. The study suggests that interventions should simultaneously strengthen social support networks and caregiver skills, while addressing issues related to sleep quality and financial concerns.

Clinical trial number: Not applicable.

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来源期刊
BMC Nursing
BMC Nursing Nursing-General Nursing
CiteScore
3.90
自引率
6.20%
发文量
317
审稿时长
30 weeks
期刊介绍: BMC Nursing is an open access, peer-reviewed journal that considers articles on all aspects of nursing research, training, education and practice.
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